Data Engineer, Specialist
Core
Designs, develops, and optimizes ETL processes, data pipelines, database solutions, and cloud-based data infrastructure to support scalable, reliable data processing and analytical needs for financial services.
Role type
Senior data engineer (financial services)
Builds
AWS cloud supporting services, Spark data processing applications, dashboards, reports, and data visualizations
Domain
Financial services / Data engineering
Deliverable
production ML models
Required skills
ETL process design, data pipeline development, SQL, Python, AWS services (Glue, Redshift, Lambda, IAM, CloudWatch, CloudFormation, Secrets Manager, Sagemaker), Spark, Power BI, data quality assessment, regulatory compliance translation
Preferred skills
Financial Crimes support, SEC regulatory reporting, financial services data experience, cloud-based data platforms
Technologies
AWS, Spark, Python, SQL, Power BI
Responsibilities
Design and optimize ETL processes and data pipelines; integrate large datasets from multiple sources; build AWS cloud supporting services and Spark applications; automate data analysis and reporting workflows; build and automate dashboards and reports; partner with business and compliance teams to understand data needs; assess data quality and test solutions; mentor less-experienced data professionals
Seniority
Senior, hands-on IC
